What are the responsibilities and job description for the Snowflake Data Engineer position at One Bridge Inc?
Onebridge is a Consulting firm with an HQ in Indianapolis, and clients dispersed throughout North America and beyond. We have an exciting opportunity for a highly skilled Snowflake Data Engineer to join an innovative and dynamic group of professionals at a company rated among the top “Best Places to Work” in Indianapolis since 2015.
Snowflake Data Engineer | About You
As a Snowflake Data Engineer, you are responsible for designing, building, and maintaining scalable, secure, and high-performing data infrastructure centered around Snowflake to support critical business priorities. You will play a key role in advancing the data products roadmap, implementing data-as-a-product and data mesh strategies, and driving governance and data quality initiatives. You thrive on solving complex data challenges by building efficient pipelines and developing actionable solutions that empower organizations to unlock the full potential of their data. A detail-oriented and results-driven professional, you excel in collaborative environments and leverage your technical expertise to drive impactful decisions and long-term success.
Snowflake Data Engineer | Day-to-Day
Design, develop, and maintain scalable data pipelines using Snowflake as the core data platform.
Build and manage ETL / ELT workflows and data integration processes using Informatica IICS and Snowflake's native capabilities.
Collaborate with stakeholders to prioritize and operationalize data use cases, showcasing data products.
Document insights and deliverables to support data-as-a-product and data mesh strategies.
Ensure data quality, governance, and security while expanding governance practices.
Monitor and optimize system performance, resolving bottlenecks and driving efficiency.
Snowflake Data Engineer | Skills & Experience
5 years of experience in data engineering, data infrastructure development, or a related field.
Proficiency in Snowflake, including its architecture, features, and data services.
Expertise in SQL and experience managing both relational and non-relational databases.
Strong understanding of ETL / ELT processes and hands-on experience with Informatica IICS, Apache Airflow, or Apache Kafka.
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and their integration with Snowflake.
Excellent communication skills with the ability to synthesize complex information and document findings clearly.
Hands-on experience with tools such as Power BI, Collibra, and big data technologies is a plus.
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a Snowflake Data Engineer?
Sign up to receive alerts about other jobs on the Snowflake Data Engineer career path by checking the boxes next to the positions that interest you.
